Pandas Profiling Report

Dataset statistics

Number of variables	24
Number of observations	3677
Missing cells	7196
Missing cells (%)	8.2%
Duplicate rows	0
Duplicate rows (%)	0.0%
Total size in memory	2.4 MiB
Average record size in memory	671.3 B

Variable types

Categorical	13
Numeric	11

Alerts

`study room` has constant value "0"	Constant
`servant room` has constant value "0"	Constant
`store room` has constant value "0"	Constant
`pooja room` has constant value "0"	Constant
`others` has constant value "0"	Constant
`society` has a high cardinality: 674 distinct values	High cardinality
`sector` has a high cardinality: 113 distinct values	High cardinality
`areaWithType` has a high cardinality: 2355 distinct values	High cardinality
`price` is highly overall correlated with `price_per_sqft` and 7 other fields	High correlation
`price_per_sqft` is highly overall correlated with `price`	High correlation
`area` is highly overall correlated with `price` and 5 other fields	High correlation
`bedRoom` is highly overall correlated with `price` and 5 other fields	High correlation
`bathroom` is highly overall correlated with `price` and 4 other fields	High correlation
`floorNum` is highly overall correlated with `property_type`	High correlation
`super_built_up_area` is highly overall correlated with `price` and 6 other fields	High correlation
`built_up_area` is highly overall correlated with `price` and 4 other fields	High correlation
`carpet_area` is highly overall correlated with `price` and 5 other fields	High correlation
`property_type` is highly overall correlated with `price` and 3 other fields	High correlation
`facing` is highly overall correlated with `built_up_area`	High correlation
`society` has 487 (13.2%) missing values	Missing
`facing` has 1045 (28.4%) missing values	Missing
`super_built_up_area` has 1802 (49.0%) missing values	Missing
`built_up_area` has 1987 (54.0%) missing values	Missing
`carpet_area` has 1805 (49.1%) missing values	Missing
`area` is highly skewed (γ1 = 29.73095613)	Skewed
`built_up_area` is highly skewed (γ1 = 40.70657243)	Skewed
`carpet_area` is highly skewed (γ1 = 24.33323909)	Skewed
`floorNum` has 129 (3.5%) zeros	Zeros
`Wardrobe` has 2268 (61.7%) zeros	Zeros
`luxury_score` has 463 (12.6%) zeros	Zeros

Reproduction

Analysis started	2023-10-22 06:48:35.345151
Analysis finished	2023-10-22 06:48:47.565377
Duration	12.22 seconds
Software version	pandas-profiling v3.6.6
Download configuration	config.json

property_type
Categorical

Distinct	2
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	248.6 KiB

flat	2818
house	859

Length

Max length	5
Median length	4
Mean length	4.2336144
Min length	4

Characters and Unicode

Total characters	15567
Distinct characters	9
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	flat
2nd row	flat
3rd row	flat
4th row	flat
5th row	flat

Common Values

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
flat	2818	76.6%
house	859	23.4%

Most occurring characters

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	15567	100.0%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring scripts

Value	Count	Frequency (%)
Latin	15567	100.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	15567	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
f	2818	18.1%
l	2818	18.1%
a	2818	18.1%
t	2818	18.1%
h	859	5.5%
o	859	5.5%
u	859	5.5%
s	859	5.5%
e	859	5.5%

society
Categorical

HIGH CARDINALITY MISSING

Distinct	674
Distinct (%)	21.1%
Missing	487
Missing (%)	13.2%
Memory size	276.8 KiB

tulip violet	75
ss the leaf	73
dlf new town heights	42
shapoorji pallonji joyville gurugram	42
signature global park	35
Other values (669)	2923

Length

Max length	49
Median length	38
Mean length	17.756426
Min length	1

Characters and Unicode

Total characters	56643
Distinct characters	41
Distinct categories	5 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	307 ?
Unique (%)	9.6%

Sample

1st row	pareena mi casa
2nd row	tata primanti
3rd row	m3m capital
4th row	sare crescent parc
5th row	la vida by tata housing

Common Values

Value	Count	Frequency (%)
tulip violet	75	2.0%
ss the leaf	73	2.0%
dlf new town heights	42	1.1%
shapoorji pallonji joyville gurugram	42	1.1%
signature global park	35	1.0%
shree vardhman victoria	34	0.9%
smart world orchard	32	0.9%
emaar mgf emerald floors premier	32	0.9%
dlf the ultima	31	0.8%
paras dews	31	0.8%
Other values (664)	2763	75.1%
(Missing)	487	13.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
the	350	3.8%
dlf	220	2.4%
park	209	2.3%
city	166	1.8%
emaar	155	1.7%
global	153	1.7%
m3m	152	1.7%
signature	150	1.6%
heights	134	1.5%
godrej	114	1.2%
Other values (781)	7388	80.4%

Most occurring characters

Value	Count	Frequency (%)
	6003	10.6%
a	5864	10.4%
e	5243	9.3%
r	4171	7.4%
s	3472	6.1%
i	3341	5.9%
t	3230	5.7%
l	2943	5.2%
o	2755	4.9%
n	2702	4.8%
Other values (31)	16919	29.9%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	50095	88.4%
Space Separator	6003	10.6%
Decimal Number	527	0.9%
Other Punctuation	10	< 0.1%
Dash Punctuation	8	< 0.1%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	5864	11.7%
e	5243	10.5%
r	4171	8.3%
s	3472	6.9%
i	3341	6.7%
t	3230	6.4%
l	2943	5.9%
o	2755	5.5%
n	2702	5.4%
h	2100	4.2%
Other values (16)	14274	28.5%

Decimal Number

Value	Count	Frequency (%)
3	207	39.3%
2	82	15.6%
1	75	14.2%
6	56	10.6%
8	32	6.1%
4	19	3.6%
5	17	3.2%
0	13	2.5%
9	13	2.5%
7	13	2.5%

Other Punctuation

Value	Count	Frequency (%)
,	7	70.0%
/	2	20.0%
.	1	10.0%

Space Separator

Value	Count	Frequency (%)
	6003	100.0%

Dash Punctuation

Value	Count	Frequency (%)
-	8	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	50095	88.4%
Common	6548	11.6%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	5864	11.7%
e	5243	10.5%
r	4171	8.3%
s	3472	6.9%
i	3341	6.7%
t	3230	6.4%
l	2943	5.9%
o	2755	5.5%
n	2702	5.4%
h	2100	4.2%
Other values (16)	14274	28.5%

Common

Value	Count	Frequency (%)
	6003	91.7%
3	207	3.2%
2	82	1.3%
1	75	1.1%
6	56	0.9%
8	32	0.5%
4	19	0.3%
5	17	0.3%
0	13	0.2%
9	13	0.2%
Other values (5)	31	0.5%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	56643	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	6003	10.6%
a	5864	10.4%
e	5243	9.3%
r	4171	7.4%
s	3472	6.1%
i	3341	5.9%
t	3230	5.7%
l	2943	5.2%
o	2755	4.9%
n	2702	4.8%
Other values (31)	16919	29.9%

sector
Categorical

Distinct	113
Distinct (%)	3.1%
Missing	0
Missing (%)	0.0%
Memory size	266.9 KiB

sohna road	154
sector 85	108
sector 102	107
sector 92	100
sector 69	93
Other values (108)	3115

Length

Max length	26
Median length	9
Mean length	9.3209138
Min length	7

Characters and Unicode

Total characters	34273
Distinct characters	31
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1 ?
Unique (%)	< 0.1%

Sample

1st row	sector 68
2nd row	sector 72
3rd row	sector 113
4th row	sector 92
5th row	sector 113

Common Values

Value	Count	Frequency (%)
sohna road	154	4.2%
sector 85	108	2.9%
sector 102	107	2.9%
sector 92	100	2.7%
sector 69	93	2.5%
sector 90	89	2.4%
sector 81	87	2.4%
sector 65	87	2.4%
sector 109	86	2.3%
sector 79	76	2.1%
Other values (103)	2690	73.2%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
sector	3452	46.8%
road	178	2.4%
sohna	166	2.2%
85	108	1.5%
102	107	1.4%
92	100	1.4%
69	93	1.3%
90	89	1.2%
81	87	1.2%
65	87	1.2%
Other values (106)	2915	39.5%

Most occurring characters

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	23299	68.0%
Decimal Number	7269	21.2%
Space Separator	3705	10.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Decimal Number

Value	Count	Frequency (%)
1	1076	14.8%
0	804	11.1%
8	780	10.7%
9	764	10.5%
6	742	10.2%
7	684	9.4%
2	676	9.3%
3	666	9.2%
5	593	8.2%
4	484	6.7%

Space Separator

Value	Count	Frequency (%)
	3705	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	23299	68.0%
Common	10974	32.0%

Most frequent character per script

Latin

Value	Count	Frequency (%)
o	3807	16.3%
s	3697	15.9%
r	3697	15.9%
e	3542	15.2%
c	3503	15.0%
t	3463	14.9%
a	699	3.0%
d	249	1.1%
n	221	0.9%
h	203	0.9%
Other values (10)	218	0.9%

Common

Value	Count	Frequency (%)
	3705	33.8%
1	1076	9.8%
0	804	7.3%
8	780	7.1%
9	764	7.0%
6	742	6.8%
7	684	6.2%
2	676	6.2%
3	666	6.1%
5	593	5.4%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	34273	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
o	3807	11.1%
	3705	10.8%
s	3697	10.8%
r	3697	10.8%
e	3542	10.3%
c	3503	10.2%
t	3463	10.1%
1	1076	3.1%
0	804	2.3%
8	780	2.3%
Other values (21)	6199	18.1%

price
Real number (ℝ)

Distinct	473
Distinct (%)	12.9%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2.5336639

Minimum	0.07
Maximum	31.5
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0.07
5-th percentile	0.37
Q1	0.95
median	1.52
Q3	2.75
95-th percentile	8.5
Maximum	31.5
Range	31.43
Interquartile range (IQR)	1.8

Descriptive statistics

Standard deviation	2.9806235
Coefficient of variation (CV)	1.1764084
Kurtosis	14.933373
Mean	2.5336639
Median Absolute Deviation (MAD)	0.72
Skewness	3.2791705
Sum	9273.21
Variance	8.8841164
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1.25	80	2.2%
1.5	64	1.7%
1.2	64	1.7%
0.9	63	1.7%
1.1	62	1.7%
1.4	60	1.6%
1.3	57	1.6%
2	52	1.4%
0.95	52	1.4%
1.6	48	1.3%
Other values (463)	3058	83.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0.07	1	< 0.1%
0.16	1	< 0.1%
0.17	1	< 0.1%
0.19	1	< 0.1%
0.2	8	0.2%
0.21	6	0.2%
0.22	8	0.2%
0.23	1	< 0.1%
0.24	6	0.2%
0.25	11	0.3%

Value	Count	Frequency (%)
31.5	1	< 0.1%
27.5	1	< 0.1%
26	2	0.1%
25	1	< 0.1%
24	1	< 0.1%
23	1	< 0.1%
22	1	< 0.1%
20	3	0.1%
19.5	2	0.1%
19	3	0.1%

price_per_sqft
Real number (ℝ)

Distinct	2651
Distinct (%)	72.4%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	13892.668

Minimum	4
Maximum	600000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	4
5-th percentile	4715.95
Q1	6817.25
median	9020
Q3	13880.5
95-th percentile	33333
Maximum	600000
Range	599996
Interquartile range (IQR)	7063.25

Descriptive statistics

Standard deviation	23210.067
Coefficient of variation (CV)	1.6706702
Kurtosis	186.92801
Mean	13892.668
Median Absolute Deviation (MAD)	2794
Skewness	11.43719
Sum	50847166
Variance	5.3870722 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10000	27	0.7%
8000	19	0.5%
5000	17	0.5%
12500	14	0.4%
6666	13	0.4%
22222	13	0.4%
11111	13	0.4%
8333	12	0.3%
7500	12	0.3%
6000	11	0.3%
Other values (2641)	3509	95.4%
(Missing)	17	0.5%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
4	1	< 0.1%
5	1	< 0.1%
7	1	< 0.1%
9	1	< 0.1%
53	1	< 0.1%
57	1	< 0.1%
58	2	0.1%
60	1	< 0.1%
61	1	< 0.1%
79	1	< 0.1%

Value	Count	Frequency (%)
600000	1	< 0.1%
400000	1	< 0.1%
315789	1	< 0.1%
308333	1	< 0.1%
290948	1	< 0.1%
283333	1	< 0.1%
266666	1	< 0.1%
261194	1	< 0.1%
245398	1	< 0.1%
241666	1	< 0.1%

area
Real number (ℝ)

HIGH CORRELATION SKEWED

Distinct	1312
Distinct (%)	35.8%
Missing	17
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	2888.3311

Minimum	50
Maximum	875000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	50
5-th percentile	518.85
Q1	1232.25
median	1733
Q3	2300
95-th percentile	4246.2
Maximum	875000
Range	874950
Interquartile range (IQR)	1067.75

Descriptive statistics

Standard deviation	23167.506
Coefficient of variation (CV)	8.0210699
Kurtosis	942.02903
Mean	2888.3311
Median Absolute Deviation (MAD)	533
Skewness	29.730956
Sum	10571292
Variance	5.3673333 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1650	54	1.5%
1350	48	1.3%
1800	47	1.3%
3240	43	1.2%
1950	43	1.2%
2700	39	1.1%
900	38	1.0%
2000	33	0.9%
2250	25	0.7%
2400	23	0.6%
Other values (1302)	3267	88.8%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
50	4	0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	2	0.1%
61	1	< 0.1%
67	2	0.1%
70	1	< 0.1%
72	1	< 0.1%
76	1	< 0.1%

Value	Count	Frequency (%)
875000	1	< 0.1%
642857	1	< 0.1%
620000	1	< 0.1%
566667	1	< 0.1%
215517	1	< 0.1%
98978	1	< 0.1%
82781	1	< 0.1%
65517	2	0.1%
65261	1	< 0.1%
58228	1	< 0.1%

areaWithType
Categorical

Distinct	2355
Distinct (%)	64.0%
Missing	0
Missing (%)	0.0%
Memory size	428.2 KiB

Plot area 360(301.01 sq.m.)	37
Plot area 300(250.84 sq.m.)	26
Plot area 200(167.23 sq.m.)	19
Plot area 502(419.74 sq.m.)	19
Plot area 270(225.75 sq.m.)	17
Other values (2350)	3559

Length

Max length	124
Median length	119
Mean length	54.236062
Min length	12

Characters and Unicode

Total characters	199426
Distinct characters	35
Distinct categories	7 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	1849 ?
Unique (%)	50.3%

Sample

1st row	Super Built up area 1245(115.66 sq.m.)
2nd row	Super Built up area 2905(269.88 sq.m.)Carpet area: 2495 sq.ft. (231.79 sq.m.)
3rd row	Super Built up area 1665(154.68 sq.m.)
4th row	Super Built up area 1750(162.58 sq.m.)
5th row	Super Built up area 2690(249.91 sq.m.)Built Up area: 2350 sq.ft. (218.32 sq.m.)Carpet area: 2170 sq.ft. (201.6 sq.m.)

Common Values

Value	Count	Frequency (%)
Plot area 360(301.01 sq.m.)	37	1.0%
Plot area 300(250.84 sq.m.)	26	0.7%
Plot area 200(167.23 sq.m.)	19	0.5%
Plot area 502(419.74 sq.m.)	19	0.5%
Plot area 270(225.75 sq.m.)	17	0.5%
Super Built up area 1578(146.6 sq.m.)	17	0.5%
Super Built up area 1950(181.16 sq.m.)Carpet area: 1161 sq.ft. (107.86 sq.m.)	17	0.5%
Super Built up area 1350(125.42 sq.m.)	15	0.4%
Plot area 150(125.42 sq.m.)	14	0.4%
Super Built up area 1650(153.29 sq.m.)Carpet area: 1022.58 sq.ft. (95 sq.m.)	14	0.4%
Other values (2345)	3482	94.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
area	5573	18.5%
sq.m	3655	12.1%
up	3020	10.0%
built	2316	7.7%
super	1875	6.2%
sq.ft	1751	5.8%
sq.m.)carpet	1185	3.9%
sq.m.)built	702	2.3%
carpet	683	2.3%
plot	681	2.3%
Other values (2846)	8700	28.9%

Most occurring characters

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	82758	41.5%
Decimal Number	47135	23.6%
Space Separator	26464	13.3%
Other Punctuation	23406	11.7%
Uppercase Letter	8593	4.3%
Close Punctuation	5535	2.8%
Open Punctuation	5535	2.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
a	13154	15.9%
r	9456	11.4%
e	9320	11.3%
s	7567	9.1%
q	7431	9.0%
t	7324	8.8%
u	6770	8.2%
p	6767	8.2%
m	5544	6.7%
l	3701	4.5%
Other values (5)	5724	6.9%

Decimal Number

Value	Count	Frequency (%)
1	9205	19.5%
0	6628	14.1%
2	5688	12.1%
5	4714	10.0%
3	3960	8.4%
4	3711	7.9%
6	3674	7.8%
7	3254	6.9%
8	3157	6.7%
9	3144	6.7%

Uppercase Letter

Value	Count	Frequency (%)
B	3020	35.1%
S	1875	21.8%
C	1872	21.8%
U	1145	13.3%
P	681	7.9%

Other Punctuation

Value	Count	Frequency (%)
.	20389	87.1%
:	3017	12.9%

Space Separator

Value	Count	Frequency (%)
	26464	100.0%

Close Punctuation

Value	Count	Frequency (%)
)	5535	100.0%

Open Punctuation

Value	Count	Frequency (%)
(	5535	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	108075	54.2%
Latin	91351	45.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
a	13154	14.4%
r	9456	10.4%
e	9320	10.2%
s	7567	8.3%
q	7431	8.1%
t	7324	8.0%
u	6770	7.4%
p	6767	7.4%
m	5544	6.1%
l	3701	4.1%
Other values (10)	14317	15.7%

Common

Value	Count	Frequency (%)
	26464	24.5%
.	20389	18.9%
1	9205	8.5%
0	6628	6.1%
2	5688	5.3%
)	5535	5.1%
(	5535	5.1%
5	4714	4.4%
3	3960	3.7%
4	3711	3.4%
Other values (5)	16246	15.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	199426	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
	26464	13.3%
.	20389	10.2%
a	13154	6.6%
r	9456	4.7%
e	9320	4.7%
1	9205	4.6%
s	7567	3.8%
q	7431	3.7%
t	7324	3.7%
u	6770	3.4%
Other values (25)	82346	41.3%

bedRoom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.3600761

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.8976289
Coefficient of variation (CV)	0.56475771
Kurtosis	18.212873
Mean	3.3600761
Median Absolute Deviation (MAD)	1
Skewness	3.4851418
Sum	12355
Variance	3.6009954
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1496	40.7%
2	942	25.6%
4	660	17.9%
5	210	5.7%
1	124	3.4%
6	74	2.0%
9	41	1.1%
8	30	0.8%
12	28	0.8%
7	28	0.8%
Other values (9)	44	1.2%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	124	3.4%
2	942	25.6%
3	1496	40.7%
4	660	17.9%
5	210	5.7%
6	74	2.0%
7	28	0.8%
8	30	0.8%
9	41	1.1%
10	20	0.5%

Value	Count	Frequency (%)
21	1	< 0.1%
20	1	< 0.1%
19	2	0.1%
18	2	0.1%
16	12	0.3%
14	1	< 0.1%
13	4	0.1%
12	28	0.8%
11	1	< 0.1%
10	20	0.5%

bathroom
Real number (ℝ)

Distinct	19
Distinct (%)	0.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	3.4245309

Minimum	1
Maximum	21
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	1
5-th percentile	2
Q1	2
median	3
Q3	4
95-th percentile	6
Maximum	21
Range	20
Interquartile range (IQR)	2

Descriptive statistics

Standard deviation	1.9480681
Coefficient of variation (CV)	0.56885693
Kurtosis	17.542297
Mean	3.4245309
Median Absolute Deviation (MAD)	1
Skewness	3.2488298
Sum	12592
Variance	3.7949693
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=19)

Value	Count	Frequency (%)
3	1077	29.3%
2	1047	28.5%
4	820	22.3%
5	294	8.0%
1	156	4.2%
6	117	3.2%
9	41	1.1%
7	40	1.1%
8	25	0.7%
12	22	0.6%
Other values (9)	38	1.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
1	156	4.2%
2	1047	28.5%
3	1077	29.3%
4	820	22.3%
5	294	8.0%
6	117	3.2%
7	40	1.1%
8	25	0.7%
9	41	1.1%
10	9	0.2%

Value	Count	Frequency (%)
21	1	< 0.1%
20	3	0.1%
18	4	0.1%
17	3	0.1%
16	8	0.2%
14	2	0.1%
13	4	0.1%
12	22	0.6%
11	4	0.1%
10	9	0.2%

balcony
Categorical

Distinct	5
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	238.1 KiB

3+	1172
3	1074
2	884
1	365
0	182

Length

Max length	2
Median length	1
Mean length	1.3187381
Min length	1

Characters and Unicode

Total characters	4849
Distinct characters	5
Distinct categories	2 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	3
2nd row	3+
3rd row	2
4th row	2
5th row	3+

Common Values

Value	Count	Frequency (%)
3+	1172	31.9%
3	1074	29.2%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Most occurring characters

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	75.8%
Math Symbol	1172	24.2%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
3	2246	61.1%
2	884	24.0%
1	365	9.9%
0	182	4.9%

Math Symbol

Value	Count	Frequency (%)
+	1172	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	4849	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	4849	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
3	2246	46.3%
+	1172	24.2%
2	884	18.2%
1	365	7.5%
0	182	3.8%

floorNum
Real number (ℝ)

HIGH CORRELATION ZEROS

Distinct	44
Distinct (%)	1.2%
Missing	19
Missing (%)	0.5%
Infinite	0
Infinite (%)	0.0%
Mean	6.7966102

Minimum	-1
Maximum	51
Zeros	129
Zeros (%)	3.5%
Negative	3
Negative (%)	0.1%
Memory size	57.5 KiB

Quantile statistics

Minimum	-1
5-th percentile	1
Q1	2
median	5
Q3	10
95-th percentile	18
Maximum	51
Range	52
Interquartile range (IQR)	8

Descriptive statistics

Standard deviation	6.0143088
Coefficient of variation (CV)	0.88489831
Kurtosis	4.509584
Mean	6.7966102
Median Absolute Deviation (MAD)	3
Skewness	1.6918973
Sum	24862
Variance	36.171911
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=44)

Value	Count	Frequency (%)
3	498	13.5%
2	493	13.4%
1	348	9.5%
4	316	8.6%
8	195	5.3%
6	183	5.0%
10	179	4.9%
7	176	4.8%
5	169	4.6%
9	161	4.4%
Other values (34)	940	25.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
-1	3	0.1%
0	129	3.5%
1	348	9.5%
2	493	13.4%
3	498	13.5%
4	316	8.6%
5	169	4.6%
6	183	5.0%
7	176	4.8%
8	195	5.3%

Value	Count	Frequency (%)
51	1	< 0.1%
45	1	< 0.1%
44	1	< 0.1%
43	2	0.1%
40	1	< 0.1%
39	2	0.1%
38	1	< 0.1%
35	2	0.1%
34	2	0.1%
33	4	0.1%

facing
Categorical

HIGH CORRELATION MISSING

Distinct	8
Distinct (%)	0.3%
Missing	1045
Missing (%)	28.4%
Memory size	225.5 KiB

East	623
North-East	623
North	387
West	249
South	231
Other values (3)	519

Length

Max length	10
Median length	5
Mean length	6.8381459
Min length	4

Characters and Unicode

Total characters	17998
Distinct characters	13
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	West
2nd row	West
3rd row	East
4th row	North-East
5th row	North-East

Common Values

Value	Count	Frequency (%)
East	623	16.9%
North-East	623	16.9%
North	387	10.5%
West	249	6.8%
South	231	6.3%
North-West	193	5.2%
South-East	173	4.7%
South-West	153	4.2%
(Missing)	1045	28.4%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
east	623	23.7%
north-east	623	23.7%
north	387	14.7%
west	249	9.5%
south	231	8.8%
north-west	193	7.3%
south-east	173	6.6%
south-west	153	5.8%

Most occurring characters

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	13082	72.7%
Uppercase Letter	3774	21.0%
Dash Punctuation	1142	6.3%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
t	3774	28.8%
s	2014	15.4%
o	1760	13.5%
h	1760	13.5%
a	1419	10.8%
r	1203	9.2%
e	595	4.5%
u	557	4.3%

Uppercase Letter

Value	Count	Frequency (%)
E	1419	37.6%
N	1203	31.9%
W	595	15.8%
S	557	14.8%

Dash Punctuation

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	16856	93.7%
Common	1142	6.3%

Most frequent character per script

Latin

Value	Count	Frequency (%)
t	3774	22.4%
s	2014	11.9%
o	1760	10.4%
h	1760	10.4%
E	1419	8.4%
a	1419	8.4%
N	1203	7.1%
r	1203	7.1%
W	595	3.5%
e	595	3.5%
Other values (2)	1114	6.6%

Common

Value	Count	Frequency (%)
-	1142	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	17998	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
t	3774	21.0%
s	2014	11.2%
o	1760	9.8%
h	1760	9.8%
E	1419	7.9%
a	1419	7.9%
N	1203	6.7%
r	1203	6.7%
-	1142	6.3%
W	595	3.3%
Other values (3)	1709	9.5%

agePossession
Categorical

Distinct	6
Distinct (%)	0.2%
Missing	0
Missing (%)	0.0%
Memory size	281.5 KiB

Relatively New	1646
New Property	593
Moderately Old	563
Undefined	306
Old Property	303

Length

Max length	18
Median length	14
Mean length	13.385912
Min length	9

Characters and Unicode

Total characters	49220
Distinct characters	25
Distinct categories	3 ?
Distinct scripts	2 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Under Construction
2nd row	Relatively New
3rd row	Under Construction
4th row	Moderately Old
5th row	Relatively New

Common Values

Value	Count	Frequency (%)
Relatively New	1646	44.8%
New Property	593	16.1%
Moderately Old	563	15.3%
Undefined	306	8.3%
Old Property	303	8.2%
Under Construction	266	7.2%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
new	2239	31.8%
relatively	1646	23.4%
property	896	12.7%
old	866	12.3%
moderately	563	8.0%
undefined	306	4.3%
under	266	3.8%
construction	266	3.8%

Most occurring characters

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

Most occurring categories

Value	Count	Frequency (%)
Lowercase Letter	38801	78.8%
Uppercase Letter	7048	14.3%
Space Separator	3371	6.8%

Most frequent character per category

Lowercase Letter

Value	Count	Frequency (%)
e	8431	21.7%
l	4721	12.2%
t	3637	9.4%
y	3105	8.0%
r	2887	7.4%
d	2307	5.9%
w	2239	5.8%
i	2218	5.7%
a	2209	5.7%
o	1991	5.1%
Other values (7)	5056	13.0%

Uppercase Letter

Value	Count	Frequency (%)
N	2239	31.8%
R	1646	23.4%
P	896	12.7%
O	866	12.3%
U	572	8.1%
M	563	8.0%
C	266	3.8%

Space Separator

Value	Count	Frequency (%)
	3371	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Latin	45849	93.2%
Common	3371	6.8%

Most frequent character per script

Latin

Value	Count	Frequency (%)
e	8431	18.4%
l	4721	10.3%
t	3637	7.9%
y	3105	6.8%
r	2887	6.3%
d	2307	5.0%
N	2239	4.9%
w	2239	4.9%
i	2218	4.8%
a	2209	4.8%
Other values (14)	11856	25.9%

Common

Value	Count	Frequency (%)
	3371	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	49220	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
e	8431	17.1%
l	4721	9.6%
t	3637	7.4%
	3371	6.8%
y	3105	6.3%
r	2887	5.9%
d	2307	4.7%
N	2239	4.5%
w	2239	4.5%
i	2218	4.5%
Other values (15)	14065	28.6%

super_built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING

Distinct	593
Distinct (%)	31.6%
Missing	1802
Missing (%)	49.0%
Infinite	0
Infinite (%)	0.0%
Mean	1925.2376

Minimum	89
Maximum	10000
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	89
5-th percentile	767
Q1	1479.5
median	1828
Q3	2215
95-th percentile	3185
Maximum	10000
Range	9911
Interquartile range (IQR)	735.5

Descriptive statistics

Standard deviation	764.17218
Coefficient of variation (CV)	0.39692356
Kurtosis	10.349191
Mean	1925.2376
Median Absolute Deviation (MAD)	372
Skewness	1.8364563
Sum	3609820.5
Variance	583959.12
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1950	37	1.0%
1650	37	1.0%
2000	25	0.7%
1578	25	0.7%
1640	22	0.6%
2150	22	0.6%
2408	19	0.5%
1900	19	0.5%
1930	18	0.5%
2812	17	0.5%
Other values (583)	1634	44.4%
(Missing)	1802	49.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
89	1	< 0.1%
145	1	< 0.1%
161	1	< 0.1%
215	1	< 0.1%
216	1	< 0.1%
325	1	< 0.1%
340	1	< 0.1%
352	1	< 0.1%
380	1	< 0.1%
406	1	< 0.1%

Value	Count	Frequency (%)
10000	1	< 0.1%
6926	1	< 0.1%
6000	1	< 0.1%
5800	2	0.1%
5514	1	< 0.1%
5350	2	0.1%
5200	2	0.1%
4890	1	< 0.1%
4857	1	< 0.1%
4848	2	0.1%

built_up_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	644
Distinct (%)	38.1%
Missing	1987
Missing (%)	54.0%
Infinite	0
Infinite (%)	0.0%
Mean	2379.5858

Minimum	2
Maximum	737147
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	2
5-th percentile	240.45
Q1	1100
median	1650
Q3	2400
95-th percentile	4691
Maximum	737147
Range	737145
Interquartile range (IQR)	1300

Descriptive statistics

Standard deviation	17942.88
Coefficient of variation (CV)	7.5403375
Kurtosis	1667.8704
Mean	2379.5858
Median Absolute Deviation (MAD)	650
Skewness	40.706572
Sum	4021500
Variance	3.2194695 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1800	41	1.1%
3240	37	1.0%
1900	34	0.9%
1350	33	0.9%
2700	33	0.9%
900	28	0.8%
1600	26	0.7%
1300	24	0.7%
2000	24	0.7%
1700	23	0.6%
Other values (634)	1387	37.7%
(Missing)	1987	54.0%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
2	1	< 0.1%
14	1	< 0.1%
30	1	< 0.1%
33	1	< 0.1%
50	3	0.1%
53	1	< 0.1%
55	1	< 0.1%
56	1	< 0.1%
57	1	< 0.1%
60	5	0.1%

Value	Count	Frequency (%)
737147	1	< 0.1%
13500	1	< 0.1%
11286	1	< 0.1%
9500	1	< 0.1%
9000	7	0.2%
8775	1	< 0.1%
8286	1	< 0.1%
8067.8	1	< 0.1%
8000	1	< 0.1%
7500	2	0.1%

carpet_area
Real number (ℝ)

HIGH CORRELATION MISSING SKEWED

Distinct	733
Distinct (%)	39.2%
Missing	1805
Missing (%)	49.1%
Infinite	0
Infinite (%)	0.0%
Mean	2529.1795

Minimum	15
Maximum	607936
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	15
5-th percentile	350
Q1	843
median	1300
Q3	1790
95-th percentile	2950
Maximum	607936
Range	607921
Interquartile range (IQR)	947

Descriptive statistics

Standard deviation	22799.836
Coefficient of variation (CV)	9.0147166
Kurtosis	604.53764
Mean	2529.1795
Median Absolute Deviation (MAD)	472.5
Skewness	24.333239
Sum	4734624
Variance	5.1983254 × 10⁸
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
1400	42	1.1%
1800	35	1.0%
1600	35	1.0%
1200	31	0.8%
1500	29	0.8%
1650	28	0.8%
1350	27	0.7%
1300	23	0.6%
1450	22	0.6%
1000	22	0.6%
Other values (723)	1578	42.9%
(Missing)	1805	49.1%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
15	1	< 0.1%
33	1	< 0.1%
48	1	< 0.1%
50	1	< 0.1%
59	1	< 0.1%
60	1	< 0.1%
66	1	< 0.1%
72	1	< 0.1%
76.44	3	0.1%
77.31	1	< 0.1%

Value	Count	Frequency (%)
607936	1	< 0.1%
569243	1	< 0.1%
514396	1	< 0.1%
64529	1	< 0.1%
64412	1	< 0.1%
58141	1	< 0.1%
54917	1	< 0.1%
48811	1	< 0.1%
45966	1	< 0.1%
34401	1	< 0.1%

study room
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3677

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3677	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3677	100.0%

servant room
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3677

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3677	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3677	100.0%

store room
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3677

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3677	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3677	100.0%

pooja room
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3677

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3677	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3677	100.0%

others
Categorical

Distinct	1
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	3677

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	1
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	0
3rd row	0
4th row	0
5th row	0

Common Values

Value	Count	Frequency (%)
0	3677	100.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring characters

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	3677	100.0%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	3677	100.0%

Wardrobe
Real number (ℝ)

Distinct	26
Distinct (%)	0.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	1.4185477

Minimum	0
Maximum	36
Zeros	2268
Zeros (%)	61.7%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	0
median	0
Q3	3
95-th percentile	5
Maximum	36
Range	36
Interquartile range (IQR)	3

Descriptive statistics

Standard deviation	2.6413704
Coefficient of variation (CV)	1.8620243
Kurtosis	26.770283
Mean	1.4185477
Median Absolute Deviation (MAD)	0
Skewness	3.9598574
Sum	5216
Variance	6.9768376
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=26)

Value	Count	Frequency (%)
0	2268	61.7%
3	428	11.6%
4	244	6.6%
1	229	6.2%
2	220	6.0%
5	108	2.9%
6	55	1.5%
7	30	0.8%
9	20	0.5%
10	16	0.4%
Other values (16)	59	1.6%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	2268	61.7%
1	229	6.2%
2	220	6.0%
3	428	11.6%
4	244	6.6%
5	108	2.9%
6	55	1.5%
7	30	0.8%
8	12	0.3%
9	20	0.5%

Value	Count	Frequency (%)
36	1	< 0.1%
28	1	< 0.1%
26	1	< 0.1%
24	3	0.1%
22	2	0.1%
21	2	0.1%
20	4	0.1%
19	1	< 0.1%
18	2	0.1%
16	5	0.1%

furnishing_type
Categorical

Distinct	3
Distinct (%)	0.1%
Missing	0
Missing (%)	0.0%
Memory size	237.0 KiB

0	2421
2	1046
1	210

Length

Max length	1
Median length	1
Mean length	1
Min length	1

Characters and Unicode

Total characters	3677
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	2
3rd row	0
4th row	1
5th row	0

Common Values

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

Most occurring characters

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

Most occurring categories

Value	Count	Frequency (%)
Decimal Number	3677	100.0%

Most frequent character per category

Decimal Number

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

Most occurring scripts

Value	Count	Frequency (%)
Common	3677	100.0%

Most frequent character per script

Common

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

Most occurring blocks

Value	Count	Frequency (%)
ASCII	3677	100.0%

Most frequent character per block

ASCII

Value	Count	Frequency (%)
0	2421	65.8%
2	1046	28.4%
1	210	5.7%

luxury_score
Real number (ℝ)

Distinct	161
Distinct (%)	4.4%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	71.484906

Minimum	0
Maximum	174
Zeros	463
Zeros (%)	12.6%
Negative	0
Negative (%)	0.0%
Memory size	57.5 KiB

Quantile statistics

Minimum	0
5-th percentile	0
Q1	31
median	59
Q3	110
95-th percentile	174
Maximum	174
Range	174
Interquartile range (IQR)	79

Descriptive statistics

Standard deviation	53.069642
Coefficient of variation (CV)	0.74238948
Kurtosis	-0.88005839
Mean	71.484906
Median Absolute Deviation (MAD)	38
Skewness	0.45963384
Sum	262850
Variance	2816.3869
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
0	463	12.6%
49	348	9.5%
174	195	5.3%
44	60	1.6%
38	55	1.5%
165	55	1.5%
72	52	1.4%
60	47	1.3%
37	45	1.2%
42	45	1.2%
Other values (151)	2312	62.9%

Minimum 10 values
Maximum 10 values

Value	Count	Frequency (%)
0	463	12.6%
5	6	0.2%
6	6	0.2%
7	41	1.1%
8	30	0.8%
9	9	0.2%
12	6	0.2%
13	10	0.3%
14	12	0.3%
15	43	1.2%

Value	Count	Frequency (%)
174	195	5.3%
169	1	< 0.1%
168	9	0.2%
167	21	0.6%
166	10	0.3%
165	55	1.5%
161	3	0.1%
160	28	0.8%
159	23	0.6%
158	34	0.9%

Auto

Heatmap
Table

	price	price_per_sqft	area	bedRoom	bathroom	floorNum	super_built_up_area	built_up_area	carpet_area	Wardrobe	luxury_score	property_type	balcony	facing	agePossession	furnishing_type
price	1.000	0.744	0.744	0.681	0.720	0.001	0.772	0.605	0.613	0.281	0.216	0.543	0.136	0.021	0.102	0.175
price_per_sqft	0.744	1.000	0.207	0.417	0.411	-0.126	0.287	0.132	0.136	0.238	0.054	0.201	0.033	0.000	0.056	0.022
area	0.744	0.207	1.000	0.624	0.687	0.116	0.948	0.835	0.801	0.178	0.260	0.028	0.011	0.022	0.000	0.042
bedRoom	0.681	0.417	0.624	1.000	0.862	-0.104	0.800	0.380	0.569	0.238	0.058	0.595	0.176	0.032	0.130	0.167
bathroom	0.720	0.411	0.687	0.862	1.000	-0.004	0.819	0.465	0.599	0.257	0.180	0.472	0.225	0.044	0.111	0.197
floorNum	0.001	-0.126	0.116	-0.104	-0.004	1.000	0.152	0.092	0.159	-0.019	0.232	0.524	0.088	0.000	0.132	0.025
super_built_up_area	0.772	0.287	0.948	0.800	0.819	0.152	1.000	0.926	0.894	0.140	0.222	1.000	0.306	0.000	0.086	0.132
built_up_area	0.605	0.132	0.835	0.380	0.465	0.092	0.926	1.000	0.969	0.150	0.290	0.000	0.000	1.000	0.000	0.087
carpet_area	0.613	0.136	0.801	0.569	0.599	0.159	0.894	0.969	1.000	0.159	0.240	0.000	0.026	0.000	0.000	0.000
Wardrobe	0.281	0.238	0.178	0.238	0.257	-0.019	0.140	0.150	0.159	1.000	0.194	0.317	0.133	0.038	0.098	0.375
luxury_score	0.216	0.054	0.260	0.058	0.180	0.232	0.222	0.290	0.240	0.194	1.000	0.328	0.224	0.065	0.255	0.243
property_type	0.543	0.201	0.028	0.595	0.472	0.524	1.000	0.000	0.000	0.317	0.328	1.000	0.214	0.094	0.379	0.083
balcony	0.136	0.033	0.011	0.176	0.225	0.088	0.306	0.000	0.026	0.133	0.224	0.214	1.000	0.016	0.274	0.176
facing	0.021	0.000	0.022	0.032	0.044	0.000	0.000	1.000	0.000	0.038	0.065	0.094	0.016	1.000	0.092	0.046
agePossession	0.102	0.056	0.000	0.130	0.111	0.132	0.086	0.000	0.000	0.098	0.255	0.379	0.274	0.092	1.000	0.214
furnishing_type	0.175	0.022	0.042	0.167	0.197	0.025	0.132	0.087	0.000	0.375	0.243	0.083	0.176	0.046	0.214	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

First rows
Last rows

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	Wardrobe	furnishing_type	luxury_score
0	flat	pareena mi casa	sector 68	0.92	7389.0	1245.0	Super Built up area 1245(115.66 sq.m.)	2	2	3	5.0	West	Under Construction	1245.0	NaN	NaN	0	0	50
1	flat	tata primanti	sector 72	4.00	16032.0	2495.0	Super Built up area 2905(269.88 sq.m.)Carpet area: 2495 sq.ft. (231.79 sq.m.)	4	5	3+	22.0	West	Relatively New	2905.0	NaN	2495.0	0	2	174
2	flat	m3m capital	sector 113	2.00	12012.0	1665.0	Super Built up area 1665(154.68 sq.m.)	3	3	2	24.0	NaN	Under Construction	1665.0	NaN	NaN	0	0	47
3	flat	sare crescent parc	sector 92	0.87	4971.0	1750.0	Super Built up area 1750(162.58 sq.m.)	4	4	2	2.0	East	Moderately Old	1750.0	NaN	NaN	4	1	115
4	flat	la vida by tata housing	sector 113	2.78	10334.0	2690.0	Super Built up area 2690(249.91 sq.m.)Built Up area: 2350 sq.ft. (218.32 sq.m.)Carpet area: 2170 sq.ft. (201.6 sq.m.)	3	4	3+	5.0	North-East	Relatively New	2690.0	2350.0	2170.0	0	0	174
5	flat	shapoorji pallonji joyville gurugram	sector 102	1.95	10529.0	1852.0	Super Built up area 1852(172.06 sq.m.)	3	3	3	10.0	North-East	Relatively New	1852.0	NaN	NaN	0	0	59
6	house	unitech espace	sector 50	7.42	34351.0	2160.0	Plot area 2160(200.67 sq.m.)Built Up area: 3200 sq.ft. (297.29 sq.m.)	4	4	3	2.0	West	Old Property	NaN	3200.0	NaN	4	2	88
7	flat	dlf the belaire	sector 54	10.00	24557.0	4072.0	Super Built up area 4072(378.3 sq.m.)Built Up area: 3000 sq.ft. (278.71 sq.m.)Carpet area: 2800 sq.ft. (260.13 sq.m.)	4	5	3+	17.0	North	Moderately Old	4072.0	3000.0	2800.0	4	1	167
8	flat	ss the leaf	sector 85	1.09	6661.0	1636.0	Super Built up area 1640(152.36 sq.m.)Built Up area: 1475 sq.ft. (137.03 sq.m.)Carpet area: 1350 sq.ft. (125.42 sq.m.)	2	2	3	5.0	North-East	Relatively New	1640.0	1475.0	1350.0	0	0	49
9	house	NaN	sector 4	0.92	15257.0	603.0	Plot area 67(56.02 sq.m.)	4	4	3	4.0	East	Moderately Old	NaN	603.0	NaN	3	0	0

	property_type	society	sector	price	price_per_sqft	area	areaWithType	bedRoom	bathroom	balcony	floorNum	facing	agePossession	super_built_up_area	built_up_area	carpet_area	Wardrobe	furnishing_type	luxury_score
3793	flat	conscient elevate	sector 59	3.90	16993.0	2295.0	Built Up area: 2295 (213.21 sq.m.)	3	1	0	0.0	NaN	Undefined	NaN	2295.0	NaN	0	0	0
3794	house	NaN	sector 7	1.55	13889.0	1116.0	Plot area 120(100.34 sq.m.)	2	2	2	1.0	East	Moderately Old	NaN	1080.0	NaN	2	2	52
3795	flat	signature andour heights	sector 71	0.55	8607.0	639.0	Super Built up area 639(59.37 sq.m.)Built Up area: 600 sq.ft. (55.74 sq.m.)Carpet area: 541 sq.ft. (50.26 sq.m.)	2	2	1	7.0	South-East	Relatively New	639.0	600.0	541.0	2	2	24
3796	house	arjun marg/ sector- 26 phase- 1/ golf course road	sector 26	31.50	35000.0	9000.0	Plot area 1000(836.13 sq.m.)	7	9	3+	3.0	North-East	Moderately Old	NaN	9000.0	NaN	9	1	74
3797	flat	tata primanti	sector 72	4.00	13769.0	2905.0	Super Built up area 2905(269.88 sq.m.)	4	5	2	7.0	South-East	Moderately Old	2905.0	NaN	NaN	0	0	38
3798	house	NaN	sector 28	0.75	20833.0	360.0	Plot area 40(33.45 sq.m.)	7	4	3+	4.0	NaN	Moderately Old	NaN	360.0	NaN	0	0	7
3799	flat	shree vardhman victoria	sector 70	1.80	9230.0	1950.0	Super Built up area 1950(181.16 sq.m.)	3	3	3+	10.0	North-East	New Property	1950.0	NaN	NaN	4	2	49
3800	flat	ats tourmaline	sector 109	1.45	6744.0	2150.0	Super Built up area 2150(199.74 sq.m.)Built Up area: 1797 sq.ft. (166.95 sq.m.)Carpet area: 1660 sq.ft. (154.22 sq.m.)	3	4	3+	4.0	North-West	Relatively New	2150.0	1797.0	1660.0	0	0	71
3801	flat	dlf the belaire	sector 54	7.00	23333.0	3000.0	Super Built up area 3000(278.71 sq.m.)	4	6	3+	12.0	East	Moderately Old	3000.0	NaN	NaN	6	2	108
3802	house	raj villas	sector 52	8.00	25543.0	3132.0	Carpet area: 348 (290.97 sq.m.)	6	5	3+	4.0	East	Undefined	NaN	NaN	348.0	0	0	0

Overview

Variables

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Most occurring scripts

Most frequent character per script

Latin

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Other Punctuation

Space Separator

Dash Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Space Separator

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Most occurring characters

Most occurring categories

Most frequent character per category

Lowercase Letter

Decimal Number

Uppercase Letter

Other Punctuation

Space Separator

Close Punctuation

Open Punctuation

Most occurring scripts

Most frequent character per script

Latin

Common

Most occurring blocks

Most frequent character per block

ASCII

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

Decimal Number

Math Symbol

Most occurring scripts

Most frequent character per script

Common

Most occurring blocks

Most frequent character per block

ASCII